AWS Big Data Blog

Speed up your Amazon Athena queries using partition projection

This post is co-written with Steven Wasserman of Vertex, Inc. Amazon Athena is an interactive query service that makes it easy to analyze data stored in Amazon Simple Storage Service (Amazon S3) using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run. […]

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How Takeda uses the GraphQL API with AWS AppSync to support data scientists

This is a guest blog post by Michael Song and Rajesh Mikkilineni at Takeda. In their own words, “Takeda is a global, values-based, R&D-driven biopharmaceutical leader committed to discover and deliver life-transforming treatments, guided by our commitment to patients, our people and the planet. Takeda’s R&D data engineering team aspires to build a robust and […]

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Introducing Cold Storage for Amazon Elasticsearch Service

Log analytics is the most popular use case for Elasticsearch, and with the modern-day advent of the architectural tenet to log everything all the time, it can be a challenge to store and analyze this exponential data growth effectively with a minimal price-to-performance tag. With a proliferating number of applications, log volume to be analyzed […]

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How Imperva uses Amazon Athena for machine learning botnets detection

This is a guest post by Ori Nakar, Principal Engineer at Imperva. In their own words, “Imperva is a large cyber security company and an AWS Partner Network (APN) Advanced Technology Partner, who protects web applications and data assets. Imperva protects over 6,200 enterprises worldwide and many of them use Imperva Web Application Firewall (WAF) […]

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Manage and process your big data workflows with Amazon MWAA and Amazon EMR on Amazon EKS

Many customers are gathering large amount of data, generated from different sources such as IoT devices, clickstream events from websites, and more. To efficiently extract insights from the data, you have to perform various transformations and apply different business logic on your data. These processes require complex workflow management to schedule jobs and manage dependencies […]

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Securing Apache Kafka is easy and familiar with IAM Access Control for Amazon MSK

This is a guest blog post by AWS Data Hero Stephane Maarek.  AWS launched IAM Access Control for Amazon MSK, which is a security option offered at no additional cost that simplifies cluster authentication and Apache Kafka API authorization using AWS Identity and Access Management (IAM) roles or user policies to control access. This eliminates […]

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How JPMorgan Chase built a data mesh architecture to drive significant value to enhance their enterprise data platform

This is a joint blog post co-authored with Anu Jain, Graham Person, and Paul Conroy from JP Morgan Chase.  Most modern organizations recognize that their data benefits their entire enterprise. Data has value to the individual business process that produces it, but data’s additional potential can be realized when it’s shared and combined with other […]

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Use HyperLogLog for trend analysis with Amazon Redshift

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL. Amazon Redshift offers up to three times better price performance than any other cloud data warehouse. Tens of thousands of customers use Amazon Redshift to process exabytes of […]

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Effective data lakes using AWS Lake Formation, Part 3: Using ACID transactions on governed tables

Data lakes on Amazon Simple Storage Service (Amazon S3) have become the default repository for all enterprise data and serve as common choice for a large number of users querying from a variety of analytics and ML tools. Often times you want to ingest data continuously into the data lake from multiple sources and query against the […]

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Use Grok patterns in AWS Glue to process streaming data into Amazon Elasticsearch Service

Recently, we launched AWS Glue custom connectors for Amazon Elasticsearch Service (Amazon ES), which provides the capability to ingest data into Amazon ES with just a few clicks. You can now use Amazon ES as a data store for your extract, transform, and load (ETL) jobs using AWS Glue and AWS Glue Studio. This integration […]

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